Molecular Signatures and Precision Medicine of Gastric Cancer
Received Date: Feb 26, 2019 / Accepted Date: May 27, 2019 / Published Date: Jun 03, 2019
Gastric cancer (GC) is the fifth most commonly diagnosed cancer worldwide and the second leading cause of cancer-related deaths. Adenocarcinoma accounts for approximately 95% of all malignant gastric neoplasms. Most localized GC (stages II and III) are best treated with multimodality therapy with a 5-year survival in approximately 40% of patients; however, advanced GC only has limited treatment options with poor prognosis. GC is a highly heterogenous disease. Historically, many classification systems have been proposed, including anatomical classification (Borrmann classification, Siewert and Stein classification), histological classification (WHO classification, Laurén’s classification), and extent of disease (early gastric cancer vs. advanced cancer). Originally proposed in 1965, the Laurén’s classification divides GC into intestinal- and diffuse-types that are quite distinct in the histological features, epidemiology, and etiology.
Keywords: Gastric cancer; HER2; Microsatellite instability; PD-L1; CDH1; Cancer immunotherapy
Intestinal-type tumors form glandular structures, often arise in patients with severe atrophic gastritis or persistent Helicobacter pylori infection and are strongly associated with intestinal metaplasia [1-5]. In comparison, diffuse-type GC displays poor cellular cohesion, poor differentiation, unresponsiveness to treatment, and worse prognosis . The 2010 World Health Organization (WHO) classification scheme divides GC into papillary, tubular, mucinous, and poorly cohesive subtypes, in addition to a few less frequent histologic variants [7,8]. However, these histological classification schemes only have limited clinical utility to further stratify patients for chemotherapy, novel immunotherapy, and targeted therapies, and for predicting responsiveness and prognoses, due to the genetic heterogeneity and complexity of gastric cancers .
With mounting biological information from molecular profiling and expression analysis of gastric cancer in recent years, new comprehensive molecular classifications of gastric cancer have emerged. In 2014, The Cancer Genome Atlas (TCGA) project classifies the gastric cancer into four subtypes: tumors positive for Epstein-Barr virus (EBV+ GC), microsatellite unstable tumors (MSI), genomically stable tumors (GS), and tumors with chromosomal instability (CIN) . In 2015, the Asian Cancer Research Group (ACRG) studies proposed a similar but not equivalent molecular classification that includes four subtypes: tumor with microsatellite stability (MSS)/ epithelial-mesenchymal transition (EMT), microsatellite-unstable tumors (MSI), microsatellite stable TP53-active (MSS/TP53+) GC, and microsatellite stable TP53-inactive (MSS/TP53-). The clinical utility of these new molecular classifications is still to be validated.
While the TNM stage (established by the depth of invasion of gastric wall (T), the involvement of lymph nodes (N) and the presence of distant metastasis (M)) remains the most important prognostic factor for GC, several molecular markers including HER2, the mismatch repair (MMR) genes, E-cadherin gene (CDH1), and the inhibitors of immune checkpoint factors (programed death ligand-1 (PD-L1), programed death-1 (PD-1)), have emerged with specific clinical utility in guiding gastric cancer surveillance, diagnosis, prognosis, and treatment . This review will explore the growing relevance of these molecular signatures in the diagnosis and treatment of gastric cancer.
HER2 and gastric cancer
Clinical relevance of HER2 amplification and overexpression in GC: The proto-oncogene HER2, also known as CerbB-2 and ERBB2, is located on chromosome 17q21 and belongs to the Epidermal Growth Factor Receptor (EGFR) family with tyrosine kinase activity. HER2 plays a key role in regulating cell differentiation, proliferation, motility and signal transduction . HER2 receptor activates its downstream regulatory events by spontaneous homodimerization or heterodimerization with other EGFR family receptors [11-13]. HER2 amplification and overexpression were first discovered in breast cancer . Subsequently, HER2 positivity has been observed in colorectal cancer, ovarian cancer, prostate cancer, lung cancer as well as gastric and gastroesophageal cancer [15,16]. We have found that strong HER-2 amplification and overexpression occurring more frequently in well to moderately differentiated tumors than in poorly differentiated tumors and patients with HER-2/neu gene amplification had decreased survival. A larger number of studies have shown that HER2 overexpression are often associated with serosal invasion, metastases, higher disease stage, high frequent recurrence, and overall poor survival .
The overall reported frequency of HER2 overexpression in GC ranges from 7% to 53.4% with a mean of 17.9% . In the ToGA trial, 22% of gastric tumors were HER2 positive, and HER2 positivity differed significantly by histological subtype (intestinal 34%, diffuse 6%, mixed 20%) and the site of the tumor (32% GEJ and 18% gastric body) . Another study reported that positive HER2 amplification in 12.2% of the gastric and 24.0% of the gastroesophageal adenocarcinomas. HER-2 amplification was observed in 21.5% of the intestinal-type and 2% of the diffuse-type of GC, showing no association with age and gender, but strong association with poor survival of GC patients .
In addition, intertumoral heterogeneous HER2 expression is far more common in gastric carcinomas than in breast carcinomas . The discordant HER2-positive results were observed between paired biopsy and resection specimens and between paired primary and distant metastases in HER2-positive GC cases [18,22]. Other factors that also affect HER2 status in GC include disease stages, interpretation of IHC results, old paraffin blocks, and antibodies used for IHC .
Trastuzumab is a monoclonal antibody directed against HER2 and was first introduced for the treatment of HER2-positive advanced breast cancer, with significant reduction in recurrence and improvement in survival . In the ToGA trial, patients with unresectable HER2- positive GC treated with chemotherapy and trastuzumab showed a statistically significant improved median overall survival of 4.2 months in a post-hoc analysis [16,24-26]. The proven benefits of trastuzumab in the ToGA trial made it the first molecular targeted agent approved as a standard treatment in gastric cancer. Other HER2-targeted agents including pertuzumab, lapatinib, trastuzumab-emtansine, and afatinib have been tested; and the efficacies of these agents were either unsatisfactory or similar as trastuzumab [27-31]. Taken together, HER2 amplification and overexpression is not only a negative prognostic marker, but also a targeted therapeutic marker for gastric cancer. Therefore, it is imperative to determine the HER2 status in advanced gastric or gastroesophageal junction adenocarcinoma in order to select patients who may benefit from trastuzumab treatment.
Genomic alterations associated with HER2-positive GC: In addition to amplification/overexpression of HER2, a variety of genetic variations were also identified in the HER2+ GC. These include hot spot mutations most frequently found in TP53 (54%) followed by CDKN2A (4%), KRAS (2%), KIT (2%), and PIK3CA (2%), and concomitantly co-amplification of CCNE1 (8%), PIK3CA (8%), KRAS (2%), CDK4 ( 2%), and CDK6 (2%) . All HER2+ GC with concomitant CCNE1 amplification tends to progress more rapidly after trastuzumab-based chemotherapy . On the other hand, only 17.4% of the TP53 inactive GC subgroup displayed focal amplifications in oncogenes such as HER2. A small subset of these HER2+ and TP53- GC also harbor concomitant amplification of EGFR and/or MET and are associated with aggressive behavior . Hence, combination therapy should be tested when enrolling these patients into anti-HER2 therapies.
HER2 testing in GC: Because of the differences in HER2 expression, scoring, and outcomes in GC relative to breast carcinoma, guidelines for HER2 testing in GC have been established by College of American Pathologists (CAP), Society for Clinical Pathology (ASCP), and American Society of Clinical Oncology (ASCO). HER2 testing should be performed for all patients with advanced GC who may benefit from HER2-targeted therapy. Testing can be performed on biopsy or resection specimens (primary or metastasis) or FNA specimens (cell blocks) prior to the initiation of trastuzumab therapy. HER2 status should be evaluated by IHC testing first, followed by ISH when IHC result is 2+ (equivocal) and evaluated in areas with strongest intensity of HER2 expression by IHC. Ruschoff/Hofmann method should be applied to score HER2 IHC and ISH results for GC . HER2 IHC results are scores by a four-tier HER2 scoring system as 0, 1+, 2+, and 3+, with scores of 0 and 1+ considered negative, 3+ as positive, and 2+ as equivocal . HER2 positivity or overexpression by IHC is defined as strong complete, basolateral and lateral membranous reactivity in at least 10% stained tumor cells for resection specimens and a small single cluster of cells (or at least five cells) for biopsy specimens. HER2 positivity or amplification by ISH is defined as a ratio of HER2 signal to CEP17 signal of ≥ 2.0 after at least 20 non-overlapping nuclei of tumor cells are evaluated for HER2 probe and CEP17 probe signal enumeration. If IHC is 2+ and there are three or more CEP17 signals, on average, with a ratio <2, then presence of more than six HER2 signals, on average, is interpreted as positive for HER2 amplification by ISH/FISH [25,34].
Mismatch repair (MMR) system and gastric cancer
Microsatellite instability and the mismatch repair genes system: Microsatellites are short DNA sequences consisting of repetitive arrangements (usually 10 to 60 times) of one to six nucleotides. Microsatellites are randomly distributed throughout the genome [9,36-38]. Correct replication of these highly repetitive DNA sequences is maintained by the mismatch repair (MMR) system, comprised of several proteins encoded by MLH1, MSH2, MSH6, and PMS2 genes [39-41]. The Msh2 and Msh6 protein form a heterodimer and interacts with Msh2/Msh3 to detect the replication error. The mismatched nucleotide sequence can be removed and resynthesized with the subsequent recruitment of the Mlh1/Pms2 . Dysfunction of MMR proteins lead to insertions and/or deletions in the microsatellite regions during DNA replication, a phenomenon known as microsatellite instability (MSI) [42,43]. The dysfunction is usually caused by the mutations in the coding region, promoter methylation, or loss of heterozygosity [40,44,45]. It has been shown that MSI tumors are associated with 100- to 1000-fold increased mutation rates throughout the genome when compared to microsatellite stable (MSS) tumors [44- 46]. The repetitive sequences of microsatellite DNA are particularly vulnerable to replication errors and can be used as a marker to evaluate the function of the MMR system .
Clinico-pathological features of MSI-GC
Gastric cancer with microsatellite instability (MSI-GC) represents a distinct subtype of GC as defined by both TCGA and ACRG studies, and MSI-GC is associated with elevated mutation rates in genes of oncogenic signaling pathways such as PIK3CA, ERBB3, ERBB2, and EGFR genes [9,10,47,48]. In addition, frequent mutations have been observed in genes regulating cell cycle regulation and apoptosis such as TGFβ RII, IGFIIR, TCF4, RIZ, BAX, CASPASE5, FAS, BCL10, and APAF1, and in genes in maintaining genomic integrity such as MSH6, MSH3, MED1, RAD50, BLM, ATR, and MRE11 . Surprisingly, BRAF V600E mutation which was frequently reported in sporadic colon cancer caused by MSI, has not reported in MSI-GC .
The prevalence of MSI-GC was reported to be 8.5% to 37.8% and can be observed in either sporadic GC or in the setting of Lynch syndrome [42,44,45,49,50]. It is more frequently associated with old age, intestinal histotype, female gender, the distal stomach, earlier tumor stages, multiple synchronous gastric cancers, and better overall and tumor-specific survival [10,51,52]. In the sporadic setting, hypermethylation of MLH1 promoter was observed in over 50% of MSI GCs while mutations in MLH1 and MSH2 have been reported in 12–15% of this GC subgroup . In the setting of Lynch syndrome, dysfunction of the MMR system is caused by autosomal dominant mutations mostly in MLH1 and MSH2, less frequently in PMS2 and MSH6, and rarely due to epigenetic silencing of MSH2 . Unlike the sporadic MSI-GC, patients with Lynch syndrome are at increased risk of developing various cancers at a younger age [40,44,45].
Most MSI-GC showed unique histological features including highly pleomorphic tumor cells with large vesicular nuclei, trabecular, nested, micro alveolar, or solid growth pattern, and abundant tumor-associated inflammatory stroma consisting of either polymorphs and/ or lymphocytes . However, some MSI-GC could completely lack these histological features and are indistinguishable from MSS-GC. Evaluation of the microenvironment of the MSI-GC showed increased tumor-infiltrating lymphocytes (TIL) and high level and frequency of expression of immune checkpoint factors including PD-L1, LAG- 3, IDO, and CTLA4 [56,57]. It has been hypothesized that the higher mutational rate of microsatellite instability-high (MSI-H) tumors results in increased expression of neoantigens, which in turn, recruit and activate the TILs, inducing an intense immune response as well as the expression of immune checkpoint factors [53,57,58].
MSI status affects the survival and response to chemotherapy in GC: MSI-H colorectal carcinomas usually show a better prognosis when compared to microsatellite instability-low (MSI-L) tumors and should not receive adjuvant chemotherapy with fluoropyrimidine after resection [59,60]. Similarly, MSI-GC showed a 37% mortality risk reduction and improved median OS compared to MSI-L or MSS- GC patients . Results from the MAGIC trial showed that MSI and MLH1 deficiency in patients treated by surgery alone led to better outcomes, while it had a negative prognostic effect in those treated with chemotherapy [61-63]. Moreover, MSI-GC demonstrated higher 3-, 5-, and 10-year disease-specific survival rates compared to MSS patients even with positive resection margins (R+) [61,62]. Interestingly, a prospective genomic-profiling research showed that metastatic MSI-GC on standard cytotoxic therapy progressed more rapidly with a significantly shorter progression-free survival compared with MSS patients . However, when these fast-progressing patients were treated with anti-PD-1 antibodies either as a single therapy or in combination with anti-CTLA4 antibodies, almost 50% of the patients showed durable immunotherapy responses . Targeting immune checkpoints with monoclonal antibodies has recently become the promising strategy for treatment of several tumors [58,65,66]. In the Keynote-012 trial, 17% of all patients with advanced GC were determined to be MSI-H GC and 50% of these patients reached partial response to pembrolizumab, even in patients without detectable PD-L1 expression [67-69]. Similar results were also observed in the KEYNOTE 059 trial, where patients with MSI-H group of gastric or gastroesophageal junction advanced adenocarcinoma showed an impressive reported ORR of 57% with the response duration ranging from 5.3 to 14.1 months [70-72]. In the Checkmate 032 trial, 28% of all patients with metastatic GC were determined to be MSI-H, and ORR to nivolumab was the highest (29%) in MSI-H patients. In addition, the MSI-H patients reached longer median OS (14.75 months) compared with the other subgroups [67,73]. These studies suggest that the MSI status should be determined to avoid enrolling MSI-GC patients into unnecessary chemotherapy regimens, and MSI can be used as predictive biomarker of response to immunotherapy and of prognosis.
Diagnosis of MSI: Currently, there are several well-validated methods to evaluate the functionality of the MR system, including amplification of microsatellite sequences of representative genomic loci by polymerase chain reaction (PCR), evaluation of nuclear expression of MMR proteins by immunohistochemistry (IHC), and detection of MSI by next-generation sequencing (NGS) [44,53,54].
Deficiency of MMR proteins usually result in insertions or deletions of nucleotides in the microsatellite regions during DNA replication [37,40,74]. The variation of microsatellite regions can be detected by PCR, using specific primers to amplify certain specific microsatellite loci in both tumor and normal tissue [75-77]. MSI can be determined by the presence of shifts in the size of the amplicons from the microsatellite loci in tumor and normal tissue. To increase the specificity and sensitivity and ensure the reproducibility and standardization between different laboratories, five microsatellite markers, including two mononucleotide loci (BAT-25 and BAT-26) and three dinucleotide loci (D2S123, D5S346, and D17S250) were recommended by Bethesda Panel as references for diagnostic testing [36,54,77,78]. MSI-H status is defined by a shift in size in at least 2/5 microsatellite loci, MSI-L by a shift in size in 1/5 loci, and microsatellite stable (MSS) by no shift in cancer tissue compared to the reference [36,44,54,76-78].
Alternatively, MMR deficiency can be determined by IHC to show the loss of nuclear expression of one or more MMR proteins. Monomeric MLH1 and MSH2 are stable, while PMS2 and MSH6 are unstable as monomers and quickly degrade [36,40,44]. Thus, tumors with MLH1 or MSH2 mutations usually show loss of not only the affected protein, but also their functional partners, PMS2 or MSH6, respectively. On the other hand, PMS2 or MSH6 mutations would show loss of only the affected protein [36,40,44,78]. Although as an indirect method to assess MSI, the performance of the IHC method is comparable with that of the PCR method with >90% concordance rate . However, IHC cannot detect the missense mutations of the MLH1 or MSH6 genes that render the protein unfunctional but still retain the antigenic epitope for the IHC antibodies [36,38,42]. In these cases, the MSI status can only be evaluated by either PCR-based testing or NGS.
The microsatellite status of a tumor can also be determined by NGS with coverage of a broader range of microsatellite loci. The disadvantages of this method are higher initial costs, longer turnaround time needed to perform the sequencing, and the requirement of bioinformatics analysis to interpret the data [79-81].
Immune check point factors and gastric cancer
Frequency of PD-L1/2 expression in GC: With the success of immune-checkpoint inhibitors in the treatment of many types of tumors including advanced gastric carcinoma, immunotherapy has gained considerable attention [82-85]. Recent molecular characterizations of the GC have shown elevated PD-L1/2 expression in both EBV positive (EBV+) and MSI-GC subtypes which may more likely respond to immunotherapies [9,10,86].
PD-L1 (B7-H1), a member of the immunoglobulin superfamily B7, is a 290aa transmembrane glycoprotein encoded by the CD274 gene located on chromosome 9 and is the ligand of programmed cell death 1 (PD-1) [87-90]. PD-L1 is normally expressed in antigen-presenting cells including dendritic cells, macrophages, and monocytes, but also aberrantly on the cell surface of a wide variety of solid tumors [88,89,91,92]. PD-1 (PD-L1 receptor) is usually expressed by activated T-cells, tumor-infiltrating lymphocytes (TILs), and other immune cells . Another ligand for PD1 is PD-L2 (also known as B7-DC and CD273) which is thought to be a PD-L1 homologue arising through gene duplication within 100 kb of each other in chromosomal region 9p24.1 [93-95]. Unlike PD-L1, PD-L2 is usually inducibly expressed on dendritic cells, macrophages, bone marrow–derived mast cells, and certain tumor cells . The PD-1/PD-L1/2 interactions are considered as important immune check point, which leads to the suppression of T-cell receptor signaling and the down regulation of the immune response to maintain the tolerance of self-antigens in normal host [87,97]. The inhibitory effects on the immune response by these checkpoint regulators would also allow the tumor cells to escape host immune destruction [88,89,97,98]. Targeting the PD-1/PD-L1 immune checkpoint by therapeutic PD-1/PD-L1 inhibitors could restore the cancer cell-directed immune response by improving the immune functions of tumor-specific T cells [99-101].
The EBV+ GC represents roughly 7-10% of all GC with no difference between intestinal and diffuse histological types and among geographical regions but is more prevalent in younger patients and in males, with a male/female ratio of 2:1 [9,10,102,103]. In EBV+ GC, PD-L1 expression was observed both in tumors (50% of cases) and in tumor-surrounding immune cells (94% of cases) [57, 105]. In addition, 15% of EBV+ GC showed amplification in the chromosomal region 9p24.1 which contains the PD-L1 and PD-L2 loci [104,105]. The frequency of PD-L2 positivity in EBV + GC is much lower and was observed in tumor cells of 22% of cases and in stromal immune cells of 38.8% of cases . In contrast, a lower PD-L1 expression was observed in tumor cells of 10% of EBV- GC cases and in tumor-surrounding immune cells of 39% of EBV- GC cases . Similar findings were reported in other retrospective studies in which PIK3CA and PD-L2 were more highly expressed in EBV+ GC than in EBV-GC [104,105]. As previously mentioned, MSI-GC is characterized by increased lymphocytic infiltrate with significantly higher rates of PD-L1 expression (37-87%) and PD-L2 expression compared with MSS -GCs. PD-L1 expression was more frequently observed in 61% for EBV+ GC and 37% of MSI GCs .
PDL-L1/2 expression as a prognostic biomarker for GC: The correlation of PD-L1 expression with the prognosis in patients with GC is still considered controversial due to the conflicting reports. Some studies claimed that PD-L1 expression was independently associated with improved longer survival [107,108]. Others reported that PD-L1 expression was not associated with a poor prognosis in patients with gastric cancer [109,110]. However, most studies showed that PD-L1 expression is an independent negative prognostic predictor for GC. Expression of PD-L1 was significantly associated with tumor size, invasion, lymph node metastasis, advanced clinical and pathological stage, and shorter survival time of patients [107,108,111-113]. In addition, several meta-analyses have demonstrated that PD-L1 overexpression is a worse prognostic factor in GC [100,114,115]. It has been hypothesized that the poor prognosis of GC with positive PD-L1 expression are related to its inhibitory effects on tumor-specific T lymphocytes . The PD-L2-positivity in the stromal immune cells correlates with lower T stage, negative lymph node metastasis, and perineural invasion, but with no prognostic impact on DFS of EBV + GC .
PD-L1 expression as a predictive biomarker for response to immunotherapy: Several PD-1/PD-LI inhibitors have already been approved by the FDA for cancers like non-small cell lung carcinoma (NSCLC), Merkel cell carcinoma, and melanoma. The commonly known inhibitors include PD-1 inhibitors (pembrolizumab, nivolumab) and PD-L1 inhibitors (avelumab, durvalumab, atezolizumab) [83,117- 120]. All these inhibitors are also being tested for efficacy in treating GC in various phases of several ongoing clinical trials. Based on the encouraging early phase results obtained by KEYNOTE-012 (NCT01848834), KEYNOTE-028 (NCT02054806) FDA accelerated the approval of pembrolizumab for the treatment of patients with PD-L1-positive recurrent or advanced GC who have received 2 or more lines of chemotherapy [69,73,121]. Results from ONO-4538- 12 (NCT02267343) phase III clinical study showed that nivolumab, significantly improved OS, PFS and ORR compared to placebo as a rescue treatment after failure of standard chemotherapy for GC . Preliminary results from phase Ib/II studies (NCT02572687) demonstrated that durvalumab in combination with ramucirumab, an anti-VEGFR-2 inhibitor, induces synergic antitumor effects in GC .
Currently, PD-L1 expression is the only available biomarker in predicting the tumor response and survival prognosis as the results from various clinical trial showed that increased response rates and longer overall survival (OS) were observed in patients with higher PD-L1 expression [124,125]. However, many studies showed that PD-L1 expression was not sufficient to fully differentiate responders and non-responders: consistent responses were only observed in a fraction of patients with high PDL-1 expression, while durable responses were also observed in patients with negative PD-L1 expression [126-129]. Even long-term favorable clinical outcomes were seen be achieved in patients that are PD-L1 negative [130-132]. A variety of causes may contribute to the misclassification of the PD-L1 expression status including dynamic and heterogeneous PD-L1 expression in different tumor histology, tumor sampling, use of archived material for testing, existence of various antibody clones, positivity or negativity cutoffs, and sometimes the scoring system [128,133-137]. Although some studies tried to identify other predictive markers for PD-1/ PD-L1 inhibitors such as tumor mutation burden, EBV status, or MSI status, none of them has been routinely used in clinical practice [110,125,138,139]. In fact, according to the FDA, pembrolizumab must be used in conjunction with its companion PD-L1 test in GC, while testing PD-L1 expression for nivolumab and atezolizumab are considered complementary [12,14].
Testing for PD-L1 expression in GC for pembrolizumab: Evaluating the PD-L1 expression for treatment of GC with pembrolizumab is different from that in NSCLC or other cancer types [84,133]. PD-L1 expression was assayed using FDA-approved PD-L1 IHC 22C3 pharmDx on sections from formalin fixed paraffin embedded tissue blocks. The number of PD-L1-stained cells (clear membranous stain with or without cytoplasmic stain at any intensity) including tumor cells, lymphocytes, and macrophages are counted in the areas that contains at least 100 viable tumor cells. A combined positive score (CPS) is calculated by dividing the total number of all PD-L1 positive cells (tumors cells, lymphocytes, and macrophages) by the total number of viable tumor cells. A CPS ≥ 1% is considered positive for PD-L1 expression [133,140]. In the KEYNOTE-059 trial, the CPS has been shown to be a robust, reproducible PD-L1 scoring method that predicts response to pembrolizumab in patients with G/ GEJ cancer better than the tumor proportion score (TPS) [133,141].
Diffuse-type GC and E-cadherin (CDH1): The diffuse type GC represents 32% of all GC and is more frequently associated with female and young patients [6,142,143]. It is enriched in the GS-subtype by the TCGA classification scheme and in the EMT subtype by the ACRG classification scheme [9,10]. Unlike the complicated genetic variations that underlie carcinogenesis in intestinal-type tumors, diffuse-type GC most frequently harbors molecular defects in the E-cadherin gene (CDH1), resulting the loss of expression of the cell adhesion molecule E-cadherin . Somatic mutations of CDH1 have been detected in approximately 30% of sporadic diffuse gastric carcinoma (SDGC) and are associated with poor prognosis [9,145,146]. Germline mutations of CDH1 were found in about 40% of patients with hereditary diffuse gastric cancer (HDGC) and are inherited in an autosomal-dominant pattern [143,147]. In addition, the epigenetic inactivation by promoter hypermethylation of the CDH1 gene may also contribute to GC development [148,149].
CDH1 and HDGC: HDGC accounts for about 1-3% of gastric cancers and is characterized by early-onset of the disease with familial clustering [150,151]. By genetic linkage and sequencing analysis, mutations in CDH1 gene were first identified as the genetic cause for early-onset, diffuse gastric cancer in large kindred from New Zealand . Since then, more than 150 different CDH1 germline mutations have been identified in HDGC families of multiple ethnical origins [153,154]. These pathogenic mutations spread across the entire CDH1 gene including small insertions and deletions, large exon deletions, missense mutations, nonsense mutations, and splice site mutations [153,155]. The location or type of germline CDH1 mutation does not correlate with phenotype, particularly in regard to the presence of lobular breast cancer in HDGC families [153,155].
Patients with CDH1 germline mutations carry a relatively high risk of developing advanced GC and breast carcinoma with incomplete penetrance [153,155,156]. Prior study showed that the mean age at diagnosis of advanced GC was 40 years (range, 14–85 years) . The cumulative risk for gastric cancer is 67% for men and 83% for women by age 80 years, and the cumulative risk for breast cancer is 39% . The combined risk of gastric cancer and breast cancer in women is 90% by age 80 years [153,155,158]. The prognosis of HDGC patients with germline CDH1 mutations are worse with an overall five-year survival rate of only 4% comparing to 13% in patients without CDH1 mutations  while germline CDH1 mutations accounts for about 40% of HDGC, the genetic causes of 60% of HDGC remains unknown [143,147,159]. Mutations in several candidate genes have been identified in HDGC patients without CDH1 mutations, including CTNNA1, MAP3K6, BRCA2, PALB2, INSR, FBXO24, and DOT1L. However, the significance of these mutations needs to be confirmed in more patients to determine their genetic linkage, prevalence, and penetrance [33,153,159-161]. As such, genetic testing for HDGC is restricted to CDH1 gene per current guideline defined by the International Gastric Cancer Linkage Consortium (IGCLC) .
Molecular pathogenesis of CDH1 mutation in GC development: E-cadherin is a transmembrane protein of the cadherin superfamily encoded by the CDH1gene located in human chromosome 16q22.1 . The mature E-cadherin protein consists of a cytoplasmic domain, a single transmembrane domain, and an extracellular domain with five tandem repeat regions . The cytoplasmic domain of E-cadherin interacts with α-, β-, and γ-catenins to form cadherin-catenin complexes, linking the cadherins to the actin cytoskeleton network and to many other transmembrane and cytoplasmic proteins . The epithelial cell-cell adhesion is mediated through the homophilic interactions between the extracellular domains of the cadherin molecules in a calcium-dependent manner . These structural functions of E-cadherin create an intricate transcellular network (adherens junction) and are essential in regulating a variety of cellular processes including cell migration, differentiation, tissue architectural homeostasis, endocytosis, exocytosis, autophagy, signal transduction, gene expression, and receptor/channel recycling [165- 171]. Inactivation of E-cadherin leads to loss of cell adhesiveness and impaired cell-proliferation signaling pathways resulting in abnormal morphogenesis, unregulated growth, and invasion of adjacent tissues through epithelial-mesenchymal transition [168,169,171-175].
Several lines of evidence suggest that E-cadherin deficiency is likely the initiating event in the tumorigenesis of HDGC. Down-regulation of E-cadherin expression is first observed in the presumable gastric epithelium stem cells residing in the upper isthmus of the gastric gland [152,176]. E-cadherin expression is consistently reduced or completely lost in not only the multifocal microscopic foci of signet ring cells (SRC), the earliest apparent HDGC disease, but also in late stage HDGC in CDH1 germ line mutation carriers [74,177]. The downregulation of E-cadherin in both the in situ and invasive components of HDGC with germ line mutations suggests that inactivation of CDH1 requires a second hit for disease initiation. Potential molecular mechanism behind this secondary hit includes somatic mutation, loss of heterozygosity (LOH), and epigenetic silencing by promoter hypermethylation of the second of CDH1 allele [178-181]. Studies have shown that promoter hypermethylation accounts for 50% of cases, while mutation and LOH-mediated gene inactivation are less frequently [178-181]. However, inactivation of CDH1 alone is not sufficient for development of tumor invasion. Additional disease modifying genes including SMAD4, C-SRC, and TP53 might be involved in tumor invasion and metastasis [174,182,183].
Clinical management of patients with germline CDH1 mutations: HDGC is a highly invasive tumor that is usually identified at advanced stage with a poor prognosis. Individuals with germline CDH1 mutations carry a high lifetime risk for developing HDGC with the median age at diagnosis of age 40 [156,184]. Therefore, optimal clinical management of these high-risk individuals requires identification of asymptomatic mutation carriers followed by prophylactic gastrectomy at the appropriate age, or endoscopic surveillance followed by therapeutic gastrectomy if diffuse gastric carcinoma was detected [155,185,186].
Only selected patients who meet the following the 2015 IGCLC criteria are eligible for genetic testing to identify germline CDH1 mutation carriers: 1) two or more gastric cancer cases in one family at any age, with at least one confirmed diffuse gastric cancer; 2) diffuse gastric cancer under the age of 40 years without a family history; or 3) family history with the diagnoses of both diffuse gastric cancer and lobular breast carcinoma, at least one under the age of 50 years . Additionally, families in whom genetic testing could be considered include: presence of bilateral lobular breast cancer or family history (first or second degree relative) of two or more cases of lobular breast cancer below age 50; a personal or family history (first or second degree relative) of cleft lip/palate in a patient with diffuse GC; or an individual with in situ signet ring cells and/or pagetoid spread of signet ring cells on a gastric biopsy . The sensitivity, specificity, positive predictive value and negative predictive value of the 2015 IGCLC criteria were 0.79, 0.70, 0.19, and 0.97, respectively .
Genetic testing should begin at the age of consent (usually 16 - 18 years of age) for individuals from affected families [33,155]. Testing of younger unaffected family members can be considered on a caseby- case basis . Factors such as the emotional and physical health of the individual and the earliest age of gastric cancer in the family should be considered . Because there are no hot spot regions of CDH1 gene and no genotypic/phenotype correlations in regard to the risk of developing GC, genetic testing should be accomplished by direct sequencing of all coding regions of the gene, including intronexon boundaries . The missense mutations must be individually validated for their pathogenic relevance. Usually, this can be achieved using computational methods including frequency in normal controls, co-segregation within the pedigree, recurrence of the mutation, and in silico tools such as structural modelling and SIFT software in combination with databases containing CDH1 sequencing data [154,188]. For difficult cases, in vitro functional cell model or animal models may be needed to evaluate the impact of CDH1 missense alterations in protein structure, trafficking, and signaling [179,188,189].
The signet ring cell carcinoma in patients with CDH1 mutation initially locates beneath the foveolar epithelium and only become visible on endoscopy late in the disease process [190,191]. Therefore, prophylactic gastrectomy, rather than endoscopic surveillance, is usually recommended for CDH1 pathogenic variant carriers after age 20. However, endoscopic surveillance is needed if gastrectomy is contraindicated owing to the comorbidity, younger than recommended age for surgery, CDH1 variants of undetermined significance, or the patient refuses surgery. Endoscopy should be performed annually using a white light high definition endoscope in high risk individuals and any endoscopically visible lesions should be biopsied . Theoretically, 1768 biopsies are needed to assure a 90% rate of detecting at least 1 cancer focus . A minimum of 30 biopsies is recommended, with 5 biopsies taken from each of the following anatomic zones: pre-pyloric area, antrum, transitional zone, body, fundus, and cardia, as described in the Cambridge protocol . However, detection of early stage disease with direct endoscopic visualization is extremely difficult and only a small percentage of cancerous infiltrates were identified by endoscopic examination [184,193,194].
The recommended surgical management for carriers of a proven pathogenic germline CDH1 mutation is prophylactic total gastrectomy in their 20s or 30s . However, the optimal time for gastrectomy should be individualized based on pathogenic significance of CDH1 mutation, the age of onset of disease in the pedigree, and the penetrance pattern of particular kindred [147,194,195]. Prophylactic gastrectomy carries a 3-6% mortality rate and a 100% morbidity rate due to post-surgery eating habit changes, dumping syndrome, diarrhea, and weight loss . Current guidelines recommend a total gastrectomy with Roux-en-Y reconstruction . Because the CDH1 pathogenic variant is present in all gastric tissues, all gastric mucosa should be removed, and the negative margins confirmed during prophylactic gastrectomy [33,195]. It is reasonable to performed D1 lymph node dissection as the majority of HDGC patients will have at least T1a disease and the presence of T1b lesions cannot be ruled out preoperatively [196,197].
Due to the increased risk of lobular breast cancer in women with pathogenic CDH1 mutations, current guidelines suggest that annual breast magnetic resonance imaging should start at age 30, and treatment decisions should be made on a case-by-case basis [33,198]. Finally, it is recommended that the gastrectomy and mastectomy specimens of CDH1 mutation carriers should be fully examined microscopically to determine the stage of cancer and better understand the phenotype and biology of this disease .
Gastric cancer is a highly heterogeneous disease as reviewed by recent molecular profiling and classification. Distinct molecular signatures including HER2 overexpression, MSI status, PD1/PD-L1 expression patterns, CDH1 mutations, have been shown to be associated with different GC subtypes. Identifying these molecular signatures in GC could provide instructive information for prognosis, stratifying GC patients with optimal treatments, and eventually improving clinical outcomes.
- Sanjeevaiah A (2018) Gastric cancer: Recent molecular classification advances, racial disparity, and management implications. J Oncol Pract 14: 217-224.
- Siegel RL, Miller KD, Jemal A (2016) Cancer statistics, 2016. CA Cancer J Clin 66: 7-30.
- Miller KD (2016) Cancer treatment and survivorship statistics, 2016. CA Cancer J Clin 66: 271-289.
- Smalley SR (2012) Updated analysis of SWOG-directed intergroup study 0116: A phase III trial of adjuvant radiochemotherapy versus observation after curative gastric cancer resection. J Clin Oncol 30: 2327-2333.
- Charalampakis N (2017) Medical management of gastric cancer: a 2017 update. Cancer Med 7: 123-133.
- Lauren P (1965) The two histological main types of gastric carcinoma: Diffuse and so-called intestinal-type carcinoma. An attempt at a histo-clinical classification. Acta Pathol Microbiol Scand 64: 31-49.
- Flejou JF (2011) WHO classification of digestive tumors. Ann Pathol 31: S27-S31.
- Cho JY (2011) Gene expression signature-based prognostic risk score in gastric cancer. Clin Cancer Res 17: 1850-1857.
- Cancer Genome Atlas Research (2014) Comprehensive molecular characterization of gastric adenocarcinoma. Nature Med 513: 202-209.
- Cristescu R, Cristescu R, Lee J, Nebozhyn M, Kim KM, Ting JC, et al. (2015) Molecular analysis of gastric cancer identifies subtypes associated with distinct clinical outcomes. Nat Med 21: 449-456.
- Akiyama T, Sudo C, Ogawara H, Toyoshima K, Yamamoto T (1986) The product of the human c-erbB-2 gene: A 185-kilodalton glycoprotein with tyrosine kinase activity. Science 232: 1644-1646.
- Akiyama T, Saito T, Ogawara H, Toyoshima K, Yamamoto T (1988) Tumor promoter and epidermal growth factor stimulate phosphorylation of the c-erbB-2 gene product in MKN-7 human adenocarcinoma cells. Mol Cell Biol 8: 1019-1026.
- Mori S (1989) C-erbB-2 gene product, a membrane protein commonly expressed on human fetal epithelial cells. Lab Invest 61: 93-97.
- Slamon DJ, Clark G, Wong S, Levin W, Ullrich A, et al. (1987) Human breast cancer: Correlation of relapse and survival with amplification of the HER-2/neu oncogene. Science 235: 177-182.
- Yan M, Schwaederle M, Arguello D, Millis SZ, Gatalica Z, et al. (2015) HER2 expression status in diverse cancers: review of results from 37,992 patients. Cancer Metastasis Rev 34: 157-164.
- Jørgensen JT, Hersom M (2012) HER2 as a prognostic marker in gastric cancer - A systematic analysis of data from the literature. J Cancer 3: 137-144.
- Kurokawa Y, Matsuura N, Kimura Y, Adachi S, Fujita J, et al. (2015) Multicenter large-scale study of prognostic impact of HER2 expression in patients with resectable gastric cancer. Gastric Cancer 18: 691-697.
- Cho EY, Park K, Do I, Cho J, Kim J, et al. (2013) Heterogeneity of ERBB2 in gastric carcinomas: A study of tissue microarray and matched primary and metastatic carcinomas. Mod Pathol 26: 677-684.
- Gravalos C, Jimeno A (2008) HER2 in gastric cancer: A new prognostic factor and a novel therapeutic target. Ann Oncol 19: 1523-1529.
- Tanner M (2005) Amplification of HER-2 in gastric carcinoma: Association with Topoisomerase IIalpha gene amplification, intestinal type, poor prognosis and sensitivity to trastuzumab. Ann Oncol 16: 273-278.
- Ruschoff J, Hanna W, Bilous M, Hofmann M, Osamura RY, et al. (2012) HER2 testing in gastric cancer: A practical approach. Mod Pathol 25: 637-650.
- Huang SC, Kwai-Fong N, Shang-En L, Kuang-Hua C, Ta-Sen Y, et al. (2016) HER2 testing in paired biopsy and excision specimens of gastric cancer: The reliability of the scoring system and the clinicopathological factors relevant to discordance. Gastric Cancer 19: 176-182.
- Cho EY, Srivastava A, Park K, Kim J, Lee MH, et al. (2012) Comparison of four immunohistochemical tests and FISH for measuring HER2 expression in gastric carcinomas. Pathol 44: 216-220.
- Cutsem VE, Yung-Jue B, Feng-Yi F, Xu JM, Keun-Wook L, et al. (2015) HER2 screening data from ToGA: Targeting HER2 in gastric and gastroesophageal junction cancer. Gastric Cancer 18: 476-484.
- Ruschoff J, Dietel M, Baretton G, Arbogast S, Walch A, et al. (2010) HER2 diagnostics in gastric cancer-guideline validation and development of standardized immunohistochemical testing. Virchows Arch 457: 299-307.
- Bang YJ, Cutsem EV, Feyereislova A, Chung HC, Shen L, et al. (2010) Trastuzumab in combination with chemotherapy versus chemotherapy alone for treatment of HER2-positive advanced gastric or gastro-oesophageal junction cancer (ToGA): A phase 3, open-label, randomised controlled trial. Lancet 376: 687-697.
- Svensson M, Borg D, Zhang C, Hedner C, Nodin B, et al. (2018) Associations of PD-1 and PD-L1 expression with mismatch repair status and prognosis in chemoradiotherapy-naïve esophageal and gastric adenocarcinoma. J Clin Oncol 36: 9.
- Lordick F, Janjigian YY (2016) Clinical impact of tumour biology in the management of gastroesophageal cancer. Nature Rev Clin Oncol 13: 348-360.
- Satoh T, Rui-Hua X, Chung HC, Guo-Ping S, Doi T, et al. (2014) Lapatinib plus paclitaxel versus paclitaxel alone in the second-line treatment of HER2-amplified advanced gastric cancer in Asian populations: TyTAN-A randomized, phase III study. J Clin Oncol 32: 2039-2049.
- Kang YK, Rha SY, Tassone P, Barriuso J, Yu R, et al. (2014) A phase IIa dose-finding and safety study of first line pertuzumab in combination with trastuzumab, capecitabine and cisplatin in patients with HER2-positive advanced gastric cancer. British J of Cancer 111: 660-666.
- Barok M, Tanner M, Köninki K, Isola J (2011) Trastuzumab-DM1 is highly effective in preclinical models of HER2-positive gastric cancer. Cancer Letters 306: 171-179.
- Lee JY, Hong M, Kim ST, Park SH, Kang WK, et al. (2015) The impact of concomitant genomic alterations on treatment outcome for trastuzumab therapy in HER2-positive gastric cancer. Scient Rep 5: 9289-9289.
- Post RS, Vogelaar IP, Carneiro F, Guilford P, Huntsman D, et al. (2015) Hereditary diffuse gastric cancer: Updated clinical guidelines with an emphasis on germline CDH1 mutation carriers. J Med Genet 52: 361-374.
- Hofmann M, Stoss O, Shi D, Büttner R, Van de Vijver M, et al. (2008) Assessment of a HER2 scoring system for gastric cancer: Results from a validation study. Histopathol 52: 797-805.
- Bartley AN, Washington MK, Colasacco C, Ventura CB, Ismaila N, et al. (2016) HER2 testing and clinical decision making in gastroesophageal adenocarcinoma: guideline from the College of American Pathologists, American Society for Clinical Pathology, and the American Society of Clinical Oncology. J Clin Oncol 35: 446-464.
- Murphy KM, Zhang S, Geiger T, Hafez MJ, Bacher J, et al. (2006) Comparison of the microsatellite instability analysis system and the Bethesda panel for the determination of microsatellite instability in colorectal cancers. J Mol Diag 8: 305-311.
- Yamamoto H, Imai K (2015) Microsatellite instability: An update. Arch Toxicol 89: 899-921.
- Funkhouser WK (2012) Relevance, pathogenesis, and testing algorithm for mismatch repair–defective colorectal carcinomas: A report of the association for molecular pathology. J Mol Diag 14: 91-103.
- Falchetti M, Saieva C, Lupi R, Masala G, Rizzolo P, et al. (2008) Gastric cancer with high-level microsatellite instability: target gene mutations, clinicopathologic features, and long-term survival. Human Pathol 39: 925-932.
- Yuza K, Nagahashi M, Watanabe S, Takabe K, Wakai T, et al. (2017) Hypermutation and microsatellite instability in gastrointestinal cancers. Oncotarget 8: 112103-112115.
- Halling KC, Harper J, Moskaluk CA, Thibodeau SN, Petroni GR, et al. (1999) Origin of microsatellite instability in gastric cancer. Am J Pathol 155: 205-211.
- Hudler P (2012) Genetic aspects of gastric cancer instability. Scient World J 2012: 761909.
- Laghi L, Bianchi P, Roncalli M, Malesci A (2004) Revised bethesda guidelines for hereditary nonpolyposis colorectal cancer (Lynch syndrome) and microsatellite instability. J National Cancer Inst 96: 1402-1403.
- Leite M, Corso G, Sousa S, Milanezi F, Afonso LP, et al. (2011) MSI phenotype and MMR alterations in familial and sporadic gastric cancer. Int J Cancer 128: 1606-1613.
- Corso G, Velho S, Paredes J, Pedrazzani C, Martins D, et al. (2011) Oncogenic mutations in gastric cancer with microsatellite instability. Eur J Cancer 47: 443-451.
- Dudley JC, Lin MT, Le DT, Eshleman JR (2016) Microsatellite instability as a biomarker for PD-1 blockade. Clin Cancer Res 22: 813-820.
- Mukohara T (2015) PI3K mutations in breast cancer: prognostic and therapeutic implications. Breast Cancer 7: 111-123.
- Normanno N, Rachiglio AM, Lambiase M, Martinelli E, Fenizia F, et al. (2015) Heterogeneity of KRAS, NRAS, BRAF and PIK3CA mutations in metastatic colorectal cancer and potential effects on therapy in the CAPRI GOIM trial. Ann Oncol26: 1710-1714.
- Mathiak M, Warneke VS, Hans-Michael B, Haag J, Böger C, et al. (2017) Clinicopathologic characteristics of microsatellite instable gastric carcinomas revisited: Urgent need for standardization. Appl Immunohistochem Mol Morphol 25: 12-24.
- Choi YY, Bae JM, An JY, Kwon IG, Cho I, et al. (2014) Is microsatellite instability a prognostic marker in gastric cancer? A systematic review with meta-analysis. J Surg Oncol 110: 129-135.
- Nakashima H, Honda M, Inoue H, Shibuta K, Arinaga S, et al. (1995) Microsatellite instability in multiple gastric cancers. Int J Cancer 64: 239-242.
- An JY, Kim H, Jae-Ho C, Hyung WJ, Kim H, et al. (2012) Microsatellite instability in sporadic gastric cancer: Its prognostic role and guidance for 5-FU based chemotherapy after R0 resection. Int J Cancer 131: 505-511.
- Ottini L, Falchetti M, Lupi R, Rizzolo P, Agnese V, et al. (2006) Patterns of genomic instability in gastric cancer: clinical implications and perspectives. Ann Oncol 17: 797-7102.
- Vasen HFA, Blanco I, Aktan-Collan K, Gopie JP, Alonso A, et al. (2013) Revised guidelines for the clinical management of Lynch syndrome (HNPCC): Recommendations by a group of European experts. Gut 62: 812-823.
- Röcken C (2017) Molecular classification of gastric cancer AU - Röcken, Christoph. Exp Rev Mol Diag 17: 293-301.
- Ma C, Patel K, Singhi AD, Ren B, Zhu B, et al. (2016) Programmed death-ligand 1 expression is common in gastric cancer associated with epstein-barr virus or microsatellite instability. The American Journal of Surgical Pathol 40: 1496-1506.
- Llosa NJ, Cruise M, Tam A, Wick E, Hechenbleikner E, et al. (2015) The vigorous immune microenvironment of microsatellite instable colon cancer is balanced by multiple counter-inhibitory checkpoints. Cancer Disc 5: 43-51.
- Le DT (2017) Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade. Science 357: 409-413.
- Elsaleh H (2000) Association of tumour site and sex with survival benefit from adjuvant chemotherapy in colorectal cancer. Lancet 355: 1745-1750.
- Zhu L (2015) Microsatellite instability and survival in gastric cancer: A systematic review and meta-analysis. Mol Clin Oncol 3: 699-705.
- Smyth EC (2017) Mismatch repair deficiency, microsatellite instability, and survival: An exploratory analysis of the Medical Research Council Adjuvant Gastric Infusional Chemotherapy (MAGIC) trial. JAMA Oncol 3: 1197-1203.
- Velho S (2014) Causes and consequences of microsatellite instability in gastric carcinogenesis. World J Gastroenterol 20: 16433-16442.
- Battaglin F (2018) Molecular biomarkers in gastro-esophageal cancer: Recent developments, current trends and future directions. Cancer Cell Int 18: 99-99.
- Janjigian YY (2018) Genetic predictors of response to systemic therapy in esophagogastric cancer. Cancer Disc 8: 49.
- Farkona S, Diamandis EP, Blasutig IM (2016) Cancer immunotherapy: The beginning of the end of cancer? BMC Med 14: 73-73.
- Le DT (2015) PD-1 Blockade in tumors with mismatch-repair deficiency. New Eng J Med 372: 2509-2520.
- Janjigian YY (2018) CheckMate-032 Study: Efficacy and safety of Nivolumab and Nivolumab Plus Ipilimumab in patients with metastatic esophagogastric cancer. J Clin Oncol 36: 2836-2844.
- Kang YK (2017) Nivolumab in patients with advanced gastric or gastro-oesophageal junction cancer refractory to, or intolerant of, at least two previous chemotherapy regimens (ONO-4538-12, ATTRACTION-2): A randomised, double-blind, placebo-controlled, phase 3 trial. Lancet 390: 2461-2471.
- Muro K (2016) Pembrolizumab for patients with PD-L1-positive advanced gastric cancer (KEYNOTE-012): A multicentre, open-label, phase 1b trial. Lancet Oncol 17: 717-726.
- Kulangara K (2018) Clinical utility of the combined positive score for programmed death ligand-1 expression and the approval of pembrolizumab for treatment of gastric cancer. Arch Pathol Lab Med 143: 330-337.
- Fashoyin-Aje L (2019) FDA approval summary: Pembrolizumab for recurrent locally advanced or metastatic gastric or gastroesophageal junction adenocarcinoma expressing PD-L1. oncologist 24: 103-109.
- Fuchs CS (2018) Safety and efficacy of pembrolizumab monotherapy in patients with previously treated advanced gastric and gastroesophageal junction cancer: Phase 2 clinical keynote-059 trial. JAMA Oncol 4: e180013.
- Osawa M (2009) Population pharmacokinetics analysis of nivolumab in Asian and non-Asian patients with gastric and gastro-esophageal junction cancers. Cancer Chemother Pharmacol 83: 705-715.
- Humar B, Guilford P (2009) Hereditary diffuse gastric cancer: A manifestation of lost cell polarity. Cancer Sci 100: 1151-1157.
- Ryan E, Sheahan K, Creavin B, Mohan HM, Winter DC (2017) The current value of determining the mismatch repair status of colorectal cancer: A rationale for routine testing. Crit Rev Oncol Hematol 116: 38-57.
- Berg KD, Glaser CL, Thompson RE, Hamilton SR, Griffin CA, et al. (2000) Detection of microsatellite instability by fluorescence multiplex polymerase chain reaction. J Mol Diag 2: 20-28.
- Julie C, Trésallet C, Brouquet A, Vallot C, Zimmermann U, et al. (2008) Identification in daily practice of patients with Lynch syndrome (hereditary nonpolyposis colorectal cancer): Revised Bethesda guidelines-based approach versus molecular screening. Am J Gastroenterol 103: 2825-2835.
- Boland CR (1998) A National Cancer Institute Workshop on microsatellite instability for cancer detection and familial predisposition: Development of international criteria for the determination of microsatellite instability in colorectal cancer. Cancer Res 58: 5248.
- Hause RJ, Pritchard CC, Shendure J, Salipante SJ (2016) Classification and characterization of microsatellite instability across 18 cancer types. Nature Med 22: 1342-1350.
- Vanderwalde A, Spetzler D, Xiao N, Gatalica Z, Marshall J, et al. (2018) Microsatellite instability status determined by next-generation sequencing and compared with PD-L1 and tumor mutational burden in 11,348 patients. Cancer Med 7: 746-756.
- Zehir A (2017) Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients. Nature Med 23: 703-713.
- Hodi FS, O'Day SJ, McDermott DF, Weber RW, Sosman JA, et al. (2010) Improved survival with Ipilimumab in patients with metastatic melanoma. New England J Med 363: 711-723.
- Postow MA, Chesney J, Pavlick AC, Robert C, Grossmann K, et al. (2015) Nivolumab and Ipilimumab versus Ipilimumab in untreated melanoma. New Eng J Med 372: 2006-2017.
- Wolchok JD (2013) Nivolumab plus ipilimumab in advanced melanoma. N Engl J Med 369: 122-133.
- Brahmer J (2015) Nivolumab versus Docetaxel in advanced squamous-cell non–small-cell lung cancer. New Eng J Med 373: 123-135.
- Wang K (2014) Whole-genome sequencing and comprehensive molecular profiling identify new driver mutations in gastric cancer. Nature Genet 46: 573-582.
- Freeman GJ (2000) Engagement of the PD-1 immunoinhibitory receptor by a novel B7 family member leads to negative regulation of lymphocyte activation. J Exp Med 192: 1027-1034.
- Strome SE (2003) B7-H1 Blockade Augments Adoptive T-cell immunotherapy for squamous cell carcinoma. Cancer Res 63: 6501.
- Blank C (2004) PD-L1/B7H-1 inhibits the effector phase of tumor rejection by T Cell Receptor (TCR) Transgenic CD8<sup>+</sup> T Cells. Cancer Res 64: 1140.
- Huang DS (2015) Prevalence of deleterious ATM germline mutations in gastric cancer patients. Oncotarget 6: 40953-40958.
- Keir ME, Freeman GJ, Sharpe AH (2007) PD-1 regulates self-reactive CD8<sup>+</sup> T cell responses to antigen in lymph nodes and tissues. J Immunol 179: 5064.
- Hirano F (2005) Blockade of B7-H1 and PD-1 by Monoclonal Antibodies Potentiates Cancer Therapeutic Immunity. Cancer Res 65: 1089.
- Youngnak P (2003) Differential binding properties of B7-H1 and B7-DC to programmed death-1. Biochem Biophys Res Commun 307: 672-677.
- Ishida M (2002) Differential expression of PD-L1 and PD-L2, ligands for an inhibitory receptor PD-1, in the cells of lymphohematopoietic tissues. Immunol Lett 84: 57-62.
- Latchman Y (2001) PD-L2 is a second ligand for PD-1 and inhibits T cell activation. Nature Immunol 2: 261-268.
- Keir ME (2008) PD-1 and its ligands in tolerance and immunity. Annu Rev Immunol 26: 677-704.
- Dong H (1999) B7-H1, a third member of the B7 family, co-stimulates T-cell proliferation and interleukin-10 secretion. Nature Med 5: 1365.
- Zou W, Chen L (2008) Inhibitory B7-family molecules in the tumour microenvironment. Nat Rev Immunol 8: 467-477.
- Keir ME (2008) PD-1 and its ligands in tolerance and immunity. Ann Rev Immunol 26: 677-704.
- Gu L (2017) PD-L1 and gastric cancer prognosis: A systematic review and meta-analysis. PLoS One12: e0182692.
- Topalian SL (2012) Safety, activity, and immune correlates of anti-PD-1 antibody in cancer. New England J Med 366: 2443-2454.
- Camargo MC (2011) Determinants of Epstein-Barr virus-positive gastric cancer: An international pooled analysis. British J Cancer 105: 38-43.
- Murphy G (2009) Meta-analysis shows that prevalence of Epstein-Barr virus-positive gastric cancer differs based on sex and anatomic location. Gastroenterol 137: 824-833.
- Derks S (2016) Abundant PD-L1 expression in Epstein-Barr Virus-infected gastric cancers. Oncotarget 7: 32925-32932.
- Dong M (2016) Expression and prognostic roles of PIK3CA, JAK2, PD-L1, and PD-L2 in Epstein-Barr virus-associated gastric carcinoma. Hum Pathol 53: 25-34.
- Seo AN (2017) Intratumoural PD-L1 expression is associated with worse survival of patients with Epstein-Barr virus-associated gastric cancer. British J Cancer 117: 1753-1760.
- Boger C (2016) PD-L1 is an independent prognostic predictor in gastric cancer of Western patients. Oncotarget 7: 24269-24283.
- Cho J (2017) Programmed cell death-ligand 1 expression predicts survival in patients with gastric carcinoma with microsatellite instability. Oncotarget 8: 13320-13328.
- Kawazoe A (2017) Clinicopathological features of programmed death ligand 1 expression with tumor-infiltrating lymphocyte, mismatch repair, and Epstein–Barr virus status in a large cohort of gastric cancer patients. Gastric Cancer 20: 407-415.
- De Rosa S (2018) EBV (+) and MSI Gastric Cancers Harbor High PD-L1/PD-1 expression and high CD8(+) intratumoral lymphocytes. Cancers 10: 102.
- Eto S (2016) Programmed cell death protein 1 expression is an independent prognostic factor in gastric cancer after curative resection. Gastric Cancer 19: 466-471.
- Chang H (2016) Programmed death-ligand 1 expression in gastric adenocarcinoma is a poor prognostic factor in a high CD8+ tumor infiltrating lymphocytes group. Oncotarget 7: 80426-80434.
- Magalh A (2018) Immunotherapy in advanced gastric cancer: An overview of the emerging strategies. Canadian J Gastroenterol Hepatol 2018: 8.
- Wu P (2015) PD-L1 and Survival in Solid Tumors: A Meta-Analysis. PLoS One 10: e0131403.
- Liu YX (2016) Prognostic significance of PD-L1 expression in patients with gastric cancer in East Asia: a meta-analysis. Onco Targets Ther 9: 2649-2654.
- Ikeguchi M (2009) Serum interleukin-6 and -10 levels in patients with gastric cancer. Gastric Cancer 12: 95-100.
- Chung HC (2019) Avelumab (anti-PD-L1) as first-line switch-maintenance or second-line therapy in patients with advanced gastric or gastroesophageal junction cancer: phase 1b results from the JAVELIN Solid Tumor trial. J Immunother Cancer 7: 30.
- Mezquita L, Planchard D (2018) Durvalumab in non-small-cell lung cancer patients: Current developments. Future Oncol 14: 205-222.
- Naidoo J, Page DB, Wolchok JD (2014) Immune checkpoint blockade. Hematol Oncol Clin North Am 28: 585-600.
- Poole RM (2014) Pembrolizumab: First global approval. Drugs 74: 1973-1981.
- Doi T (2016) Updated results for the advanced esophageal carcinoma cohort of the phase Ib KEYNOTE-028 study of pembrolizumab (MK-3475). J Clin Oncol 34: 7.
- Kang YK (2017) Nivolumab (ONO-4538/BMS-936558) as salvage treatment after second or later-line chemotherapy for advanced gastric or gastro-esophageal junction cancer (AGC): A double-blinded, randomized, phase III trial. J Clin Oncol 35: 2.
- Bang YJ, Golan T, Chia-Chi L, Yoon-Koo K, Wainberg ZA, et al. (2018) Interim safety and clinical activity in patients (pts) with locally advanced and unresectable or metastatic gastric or gastroesophageal junction (G/GEJ) adenocarcinoma from a multicohort phase I study of ramucirumab (R) plus durvalumab (D). J Clin Oncol 36: 92
- Baxi S, Yang A, Gennarelli RL, Khan N, Wang Z, et al. (2018) Immune-related adverse events for anti-PD-1 and anti-PD-L1 drugs: Systematic review and meta-analysis. BMJ 360: 793.
- Califano R, Lal R, Lewanski C, Nicolson MC, Ottensmeier CH, et al. (2018) Patient selection for anti-PD-1/PD-L1 therapy in advanced non-small-cell lung cancer: Implications for clinical practice. Future Oncol 14: 2415-2431.
- Xu-Monette ZY, Zhang M, Li J, Young KH (2017) PD-1/PD-L1 Blockade: Have we found the key to unleash the antitumor immune response? Front Immunol 8: 1597.
- Mino-Kenudson M (2016) Programmed cell death ligand-1 (PD-L1) expression by immunohistochemistry: Could it be predictive and/or prognostic in non-small cell lung cancer? Cancer Biol Med 13: 157-170.
- Kerr KM, Ming-Sound T, Nicholson AG, Yatabe Y, Wistuba II, et al. (2015) Programmed death-ligand 1 immunohistochemistry in lung cancer: In what state is this art? J Thorac Oncol 10: 985-989.
- Khagi Y, Kurzrock R, Patel SP (2017) Next generation predictive biomarkers for immune checkpoint inhibition. Cancer Metastasis Rev 36: 179-190.
- Robert C, Long GV, Brady B, Dutriaux C, Maio M, et al. (2015) Nivolumab in previously untreated melanoma without BRAF mutation. N Engl J Med 372: 320-330.
- Horn L, Spigel DR, Vokes EE, Holgado E, Ready N, et al. (2017) Nivolumab versus docetaxel in previously treated patients with advanced non-small-cell lung cancer: Two-year outcomes from two randomized, open-label, phase III trials (CheckMate 017 and CheckMate 057). J Clin Oncol 35: 3924-3933.
- Motzer RJ (2015) Nivolumab versus everolimus in advanced renal-cell carcinoma. N Engl J Med 373: 1803-1813.
- Roach C, Zhang N, Corigliano E, Jansson M, Toland G, et al. (2016) Development of a companion diagnostic PD-L1 immunohistochemistry assay for pembrolizumab therapy in non-small-cell lung cancer. Appl Immunohistochem Mol Morphol 24: 392-397.
- Nakamura S, Hayashi K, Imaoka Y, Kitamura Y, Akazawa Y, et al. (2017) Intratumoral heterogeneity of programmed cell death ligand-1 expression is common in lung cancer. PLoS One 12: e0186192.
- Cho JH, Sorensen SF, Yoon-La C, Feng Y, Tae-Eun K, et al. (2017) Programmed Death Ligand 1 expression in paired non-small cell lung cancer tumor samples. Clin Lung Cancer 18: e473-e479.
- McLaughlin J, Han G, Schalper KA, Carvajal-Hausdorf D, Pelekanou V, et al. (2016) Quantitative assessment of the heterogeneity of PD-L1 expression in non-small-cell lung cancer. JAMA Oncol 2: 46-54.
- Takada K, Toyokawa G, Shoji F, Okamoto T, Maehara Y, et al. (2018) The significance of the PD-L1 expression in non-small-cell lung cancer: Trenchant double swords as predictive and prognostic markers. Clin Lung Cancer 19: 120-129.
- Weinberg BA, Xiu J, Hwang JJ, Shields AF, Salem ME, et al. (2018) Immuno-Oncology biomarkers for gastric and gastroesophageal junction adenocarcinoma: Why PD-L1 testing may not be enough. Oncologist 23: 1171-1177.
- Shen X, Zhao B (2018) Efficacy of PD-1 or PD-L1 inhibitors and PD-L1 expression status in cancer: meta-analysis. BMJ 362: k3529.
- Dolled-Filhart M, Roach C, Toland G, Stanforth D, Jansson M, et al. (2016) Development of a companion diagnostic for pembrolizumab in non-small cell lung cancer using immunohistochemistry for programmed death ligand-1. Arch Pathol Lab Med 140: 1243-1249.
- Kulangara K (2017) Development of the combined positive score (CPS) for the evaluation of PD-L1 in solid tumors with the immunohistochemistry assay PD-L1 IHC 22C3 pharmDx. J Clin Oncol 35: e14589.
- Polkowski W (1999) Prognostic value of Lauren classification and c-erbB-2 oncogene overexpression in adenocarcinoma of the esophagus and gastroesophageal junction. Ann Surg Oncol 6: 290-297.
- Caldas C (1999) Familial gastric cancer: Overview and guidelines for management. J Med Genet 36: 873-880.
- Luo W (2018) CDH1 gene and hereditary diffuse gastric cancer syndrome: Molecular and histological alterations and implications for diagnosis and treatment. Front Pharmacol 9: 1421.
- Corso G (2014) E-cadherin germline mutation carriers: Clinical management and genetic implications. Cancer Metastasis Rev 33: 1081-1094.
- Corso G (2013) Somatic mutations and deletions of the E-cadherin gene predict poor survival of patients with gastric cancer. J Clin Oncol 31: 868-875
- Shepard B, Yoder L, Holmes C (2016) Prophylactic total gastrectomy for hereditary diffuse gastric cancer. ACG Case Rep J 3: e179.
- Yoshiura K (1995) Silencing of the E-cadherin invasion-suppressor gene by CpG methylation in human carcinomas. Proc Natl Acad Sci USA 92: 7416-7419.
- Kanda M (2016) Neurotrophin receptor-interacting melanoma antigen-encoding gene homolog is associated with malignant phenotype of gastric cancer. Ann Surg Oncol 23: 532-539.
- Zanghieri G (1990) Familial occurrence of gastric cancer in the 2-year experience of a population-based registry. Cancer 66: 2047-2051.
- La Vecchia C (1992) Family history and the risk of stomach and colorectal cancer. Cancer 70: 50-55.
- Guilford P (1998) E-cadherin germline mutations in familial gastric cancer. Nature 392: 402-405.
- Hansford S (2015) Hereditary diffuse gastric cancer syndrome: CDH1 mutations and beyond. JAMA Oncol 1: 23-32.
- van der Post RS (2015) Accuracy of hereditary diffuse gastric cancer testing criteria and outcomes in patients with a germline mutation in CDH1. Gastroenterol 149: 897-906.
- Guilford P, Humar B, Blair V (2010) Hereditary diffuse gastric cancer: Translation of CDH1 germline mutations into clinical practice. Gastric Cancer 13: 1-10.
- Pharoah PD, Guilford P, Caldas C (2001) Incidence of gastric cancer and breast cancer in CDH1 (E-cadherin) mutation carriers from hereditary diffuse gastric cancer families. Gastroenterol 121: 1348-1353.
- Blair V (2006) Hereditary diffuse gastric cancer: Diagnosis and management. Clin Gastroenterol Hepatol 4: 262-275.
- Fitzgerald RC, Hardwick R, Huntsman D, Carneiro F, Guilford P, et al. (2010) Hereditary diffuse gastric cancer: Updated consensus guidelines for clinical management and directions for future research. J Med Genet 47: 436-444.
- Gasto D, Hansford S, Oliveira C, Nightingale M, Pinheiro H, et al. (2014) Germline mutations in MAP3K6 are associated with familial gastric cancer. PLoS Genet 10: e1004669.
- Donner I, Kiviluoto T, Ristimäki A, Aaltonen LA, Vahteristo P, et al. (2015) Exome sequencing reveals three novel candidate predisposition genes for diffuse gastric cancer. Fam Cancer 14: 241-246.
- Fewings E, Larionov A, Redman J, Goldgraben MA, Scarth J, et al. (2018) Germline pathogenic variants in PALB2 and other cancer-predisposing genes in families with hereditary diffuse gastric cancer without CDH1 mutation: a whole-exome sequencing study. Lancet Gastroenterol Hepatol 3: 489-498.
- Bussemakers MJ, Vanbokhoven A, Voller M, Smit FP, Schalken JA, et al. (1994) The genes for the calcium-dependent cell adhesion molecules P- and E-cadherin are tandemly arranged in the human genome. Biochem Biophys Res Commun 203: 1291-1294.
- Takeichi M (1995) Morphogenetic roles of classic cadherins. Curr Opin Cell Biol 7: 619-627.
- Kemler R (1993) From cadherins to catenins: Cytoplasmic protein interactions and regulation of cell adhesion. Trends Genet 9: 317-321.
- Takeichi M (1991) Cadherin cell adhesion receptors as a morphogenetic regulator. Science 251: 1451-1455.
- Gumbiner BM (1996) Cell adhesion: The molecular basis of tissue architecture and morphogenesis. Cell 84: 345-357.
- Godwin TD, Kelly ST, Brew TP, Bougen-Zhukov NM, Single AB, et al. (2018) E-cadherin-deficient cells have synthetic lethal vulnerabilities in plasma membrane organisation, dynamics and function. Gastric Cancer 22: 273-286.
- Qian X, Karpova T, Sheppard AM, McNally J, Lowy DR, et al. (2004) E-cadherin-mediated adhesion inhibits ligand-dependent activation of diverse receptor tyrosine kinases. EMBO J 23: 1739-1748.
- Mateus AR, Seruca R, Machado JC, Keller G, Oliveira MJ, et al. (2007) EGFR regulates RhoA-GTP dependent cell motility in E-cadherin mutant cells. Hum Mol Genet 16: 1639-1647.
- Bershadsky A (2004) Magic touch: How does cell-cell adhesion trigger actin assembly? Trends Cell Biol 14: 589-593.
- Berx G, Karl-Friedrich B, Höfler H, Roy FV (1998) Mutations of the human E-cadherin (CDH1) gene. Hum Mutat 12: 226-237.
- Machado JC, Soares P, Carneiro F, Rocha A, Beck S, et al. (1999) E-cadherin gene mutations provide a genetic basis for the phenotypic divergence of mixed gastric carcinomas. Eur J Cancer Preven 8: 351.
- Berx G, Staes K, Hengel JV, Molemans F, Bussemakers MJG, et al. (1995) Cloning and characterization of the human invasion suppressor gene E-cadherin (CDH1). Genomics 26: 281-289.
- Park JW, Jang SH, Park DM, Lim NJ, Deng C, et al. (2014) Cooperativity of E-cadherin and Smad4 loss to promote diffuse-type gastric adenocarcinoma and metastasis. Mol Cancer Res 12: 1088-1099.
- Guilford P, Fukuzawa R, Blair V, Dunbier A, More H, et al. (1999) E-cadherin downregulation in cancer: Fuel on the fire? Mol Med Today 5: 172-177.
- Humar B, Fukuzawa R, Blair V, Dunbier A, More H, et al. (2007) Destabilized adhesion in the gastric proliferative zone and c-Src kinase activation mark the development of early diffuse gastric cancer. Cancer Res 67: 2480-2489.
- Chan JK, Wong CS (2001) Loss of E-cadherin is the fundamental defect in diffuse-type gastric carcinoma and infiltrating lobular carcinoma of the breast. Adv Anat Pathol 8: 165-172.
- Barber M, Murrell A, Ito Y, Maia AT, Hyland S, et al. (2008) Mechanisms and sequelae of E-cadherin silencing in hereditary diffuse gastric cancer. J Pathol 216: 295-306.
- Barber ME, Save V, Carneiro F, Dwerryhouse S, Lao-Sirieix P, et al. (2008) Histopathological and molecular analysis of gastrectomy specimens from hereditary diffuse gastric cancer patients has implications for endoscopic surveillance of individuals at risk. J Pathol 216: 286-294.
- Charlton A (2004) Hereditary diffuse gastric cancer: Predominance of multiple foci of signet ring cell carcinoma in distal stomach and transitional zone. Gut 53: 814-820.
- Rocha JP, Gullo I, Wen X, Devezas V, Baptista M, et al. (2018) Pathological features of total gastrectomy specimens from asymptomatic hereditary diffuse gastric cancer patients and implications for clinical management. Histopathol 73: 878-886.
- Pereira PS, Teixeira A, Pinho S, Ferreira P, Fernandes J, et al. (2006) E-cadherin missense mutations, associated with hereditary diffuse gastric cancer (HDGC) syndrome, display distinct invasive behaviors and genetic interactions with the Wnt and Notch pathways in Drosophila epithelia. Hum Mol Genet 15: 1704-1712.
- Park JW, Min-Sik K, Voon DC, Su-Jin K, Bae J, et al. (2018) Multi-omics analysis identifies pathways and genes involved in diffuse-type gastric carcinogenesis induced by E-cadherin, p53, and Smad4 loss in mice. Mol Carcinog 57: 947-954.
- Huntsman DG, Carneiro F, Lewis FR, MacLeod PM, Hayashi A, et al. (2001) Early gastric cancer in young, asymptomatic carriers of germ-line E-cadherin mutations. N Engl J Med 344: 1904-1909.
- Van der Post RS (2015) Hereditary diffuse gastric cancer: Updated clinical guidelines with an emphasis on germline CDH1 mutation carriers. J Med Genet 52: 361-374.
- Rogers WM, Dobo E, Norton JA, Dam JV, Jeffrey RB, et al. (2008) Risk-reducing total gastrectomy for germline mutations in E-cadherin (CDH1): Pathologic findings with clinical implications. Am J Surg Pathol 32: 799-809.
- Benusiglio PR, Colas C, Rouleau E, Uhrhammer N, Romero P, et al. (2015) Hereditary diffuse gastric cancer syndrome: Improved performances of the 2015 testing criteria for the identification of probands with a CDH1 germline mutation. J Med Genet 52: 563-565.
- Suriano G, Seixas S, Rocha J, Seruca R (2006) A model to infer the pathogenic significance of CDH1 germline missense variants. J Mol Med 84: 1023-1031.
- Corso G, Pedrazzani C, Pinheiro H, Fernandes E, Marrelli D, et al. (2011) E-cadherin genetic screening and clinico-pathologic characteristics of early onset gastric cancer. Eur J Cancer 47: 631-639.
- Carneiro F, Huntsman DG, Smyrk TC, Owen DA, Seruca R, et al. (2004) Model of the early development of diffuse gastric cancer in E-cadherin mutation carriers and its implications for patient screening. J Pathol 203: 681-687.
- Hamy A (1999) Study of survival and prognostic factors in patients undergoing resection for gastric linitis plastica: A review of 86 cases. Int Surg 84: 337-343.
- Fujita H, Lennerz JKM, Chung DC, Patel D, et al. (2012) Endoscopic surveillance of patients with hereditary diffuse gastric cancer: Biopsy recommendations after topographic distribution of cancer foci in a series of 10 CDH1-mutated gastrectomies. Am J Surg Pathol 36: 1709-1717.
- Hebbard PC, MacMillan A, Huntsman D, Kaurah P, Carneiro F, et al. (2009) Prophylactic total gastrectomy (PTG) for hereditary diffuse gastric cancer (HDGC): The Newfoundland experience with 23 patients. Ann Surg Oncol 16: 1890-1895.
- Lewis FR, Mellinger JD, Hayashi A, Lorelli D, Monaghan KG, et al. (2001) Prophylactic total gastrectomy for familial gastric cancer. Surgery 130: 612-619.
- Cisco RM, Ford JM, Norton JA (2008) Hereditary diffuse gastric cancer: Implications of genetic testing for screening and prophylactic surgery. Cancer 113: 1850-1856.
- Roviello F, Rossi S, Marrelli D, Pedrazzani C, Corso G, et al. (2006) Number of lymph node metastases and its prognostic significance in early gastric cancer: A multicenter Italian study. J Surg Oncol 94: 275-280.
- Kang HJ, Kim DH, Tae-Yong J, Soo-Han L, Shin N, et al. (2010) Lymph node metastasis from intestinal-type early gastric cancer: Experience in a single institution and reassessment of the extended criteria for endoscopic submucosal dissection. Gastrointest Endosc 72: 508-515.
- Schrader KA, Masciari S, Boyd N, Wiyrick S, Kaurah P, et al. (2008) Hereditary diffuse gastric cancer: Association with lobular breast cancer. Fam Cancer 7: 73-82.
Citation: Zhang L, Luo W, Cao A, Tan D (2019) Molecular Signatures and Precision Medicine of Gastric Cancer. J Mol Genet Med 13: 429.
Copyright: © 2019 Zhang L, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Select your language of interest to view the total content in your interested language
Share This Article
December 16-17, 2019 Dubai, UAE
May 25-26, 2020 Rome, Italy
- Total views: 700
- [From(publication date): 0-0 - Nov 20, 2019]
- Breakdown by view type
- HTML page views: 656
- PDF downloads: 44